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b198c5a81f
dino_4sc_r50_12e：48.71 dino_4sc_r50_24e：50.53 dino_4sc_r50_36e：50.69 dino_4sc_swinl_12e: 56.86 dino_4sc_swinl_36e: 58.04 dino_5sc_swinl_36e: 58.47
33 lines
1005 B
Python
33 lines
1005 B
Python
# Copyright (c) Alibaba, Inc. and its affiliates.
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import unittest
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import torch
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from easycv.models.backbones import EfficientFormer
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class EfficientFormerTest(unittest.TestCase):
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def setUp(self):
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print(('Testing %s.%s' % (type(self).__name__, self._testMethodName)))
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def test_efficientformer(self):
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model = EfficientFormer(
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layers=[3, 2, 6, 4],
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embed_dims=[48, 96, 224, 448],
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downsamples=[True, True, True, True],
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vit_num=1,
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fork_feat=True,
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distillation=True,
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)
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model.init_weights()
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model.train()
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imgs = torch.randn(2, 3, 224, 224)
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feat = model(imgs)
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self.assertEqual(len(feat), 4)
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self.assertEqual(feat[0].shape, torch.Size([2, 56, 56, 48]))
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self.assertEqual(feat[1].shape, torch.Size([2, 28, 28, 96]))
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self.assertEqual(feat[2].shape, torch.Size([2, 14, 14, 224]))
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self.assertEqual(feat[3].shape, torch.Size([2, 49, 448]))
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